CrowdInsights

Team 118

Team Members

• Eileen Chia (GDP)
• Chong Xiao Xuan, Acacia (GDP)
• Elgin Lee (GDP)
• Horng Woei Por (CIO)
• Tan Yng Tzer (GDP)
• Alice Zhang (GDP)

Problem Statement

Citizens struggle with sustained engagement with Government agencies because interactions are often one-way, leaving citizens without visibility on how their input aligns with others. Without immediate feedback or insights, participation feels transactional, leading to disengagement over time.

Solution

User Research

1. The lack of immediate feedback discourages participation – People are more likely to engage when they see instant validation of their input.

2. Citizens want to see how their responses compare with others – Transparency in collective opinions fosters a sense of involvement and trust. This also help citizens gain insight to what others are also thinking about, and learn from other perspectives.

3. Traditional surveys feel transactional and do not create a sense of impact – Without visibility into how responses are used, engagement remains short-lived.

Final Solution

We believe that providing real-time visibility of survey responses through instant poll-style results and AI-generated insights will result in higher citizen engagement, increased participation, and stronger trust in government initiatives because instant feedback creates a sense of involvement, reduces the frustration of one-way interactions, and helps users see the collective relevance of their input, which aligns with behavioural insights principles of social proof and instant gratification.

As such, our solution focused on re-inventing the surveys presented to citizens by sharing the views held by other surveyors, allowing participants to interact with each other virtually.

How users can compare their response to the other respondents

At the end of each survey, citizens will get a personalised insight poster tailored according to their responses.

An example of an insights poster generated based on a participant's responses

These insights not only provide respondents with unique perspectives on their behavioural preferences and decision-making processes but also serve as valuable feedback for agencies to identify areas for improvement.

Impact and Outcome Analysis

The implementation of our tool has received positive feedback from both citizens and agency users, highlighting its potential to drive meaningful engagement and actionable insights.

Impact on Citizens:

• Amplifying Minority Voices: Several users, particularly from minority demographics, emphasized the value of the tool in empowering grassroots leaders to surface critical issues from the ground up. By enabling citizens to share their perspectives transparently and see how their inputs align with others, the tool fosters inclusion and a sense of belonging in decision-making processes.
• Promoting Awareness: Citizens shared that the comparative insights provided by the tool not only validate their responses but also broaden their understanding of societal perspectives, encouraging more informed and active participation in public discussions.

Benefits for Government Agencies:

• Enhanced Data Quality: Agency users noted that the AI-driven insight analysis capabilities of the tool make it easier to eliminate irrelevant or low-quality data. This allows agencies to focus on actionable and meaningful feedback, increasing the efficiency and reliability of survey outcomes.
• Stronger Engagement Channels: Agencies appreciated the ability to generate real-time insights and personalized feedback for citizens, which strengthens the connection between government initiatives and public sentiment. This fosters trust and supports long-term citizen engagement.

Outcomes:

• Actionable Insights for Grassroots Initiatives: The tool has been recognized as a valuable resource for grassroots leaders in identifying and addressing localized issues, helping to bridge the gap between government agencies and the communities they serve.
• Improved Decision-Making Processes: By streamlining feedback collection and analysis, the tool enables agencies to make more informed decisions, focusing on areas that require immediate attention or policy adjustments.

In summary, the tool has demonstrated its ability to create a more participatory and transparent feedback system, benefiting both citizens and government agencies while driving collective action and trust in public governance.

Future Steps

The current survey generation process relies exclusively on questions generated by a Large Language Model (LLM) based on topics provided by the user. To enhance this, we plan to enable users from various agencies to generate a list of survey questions powered by the LLM, with the flexibility to customize these questions to better align with their specific use cases.

Additionally, we will explore ways to consolidate the insights generated from each survey and identify critical feedback from citizens that require immediate attention, highlighting these for government agencies.

We can also capitalise on the Artificial Intelligence added to the system by sending out surveys only to the relevant demographic to ensure we collect relevant data essential for government agencies.

The team will also focus on further enhancing the survey interface, making it more visually appealing and intuitive to encourage greater citizen participation.